Subject details

  • Topics
    • Introduction to biostatistics, frequency distributions
    • Introduction to research methods, critical appraisal
    • Descriptive statistics
    • Inferential statistics
    • Deciding which statistical methods to use
    • Data collection process, Survey Monkey
    • Observational studies
    • Interventional studies
    • Sampling
    • Measurement reliability and validity, bias
    • Reseach ethics

At the completion of this subject students will be able to:

  1. demonstrate the principles and processes involved in research design, data measurement and collection, such as sampling, measurement reliability and validity
  2. critique research design including experimental, quasi-experimental and observational designs, such as cross-sectional descriptive case studies
  3. follow the concepts of hypothesis testing and apply appropriate methods (with analytical software, where appropriate) to analyse and interpret health related data.
  • Assignment 1 - Synopsis (20%)
  • Assignment 2 - Computing assessment (35%)
  • Assignment 3 - Research Proposal (45%)

Textbooks are subject to change within the academic year. Students are advised to purchase their books no earlier than one to two months before the start of a subject

No eligibility requirements

Special requirements

No special requirements

Introduction to the scientific method, cross-sectional, experimental, quasi-experimental, descriptive case studies. Issues of sampling, bias, sample size calculation. Measurement issues: questionnaire development, reliability and validity of measurement tools and errors. Interpretation of data analysed from appropriate methods. Introduction to non-parametric tests. Ethics in research. Use of statistical software. Elements of critical appraisal.

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Find out more about the Academic Integrity module.

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